During hand-eye coordination tasks, gaze often precedes hand motion and can serve as a powerful predic- tor for intent. However, cooperative tasks where a semi-.
Learning to Predict Intent from Gaze During Robotic Hand-Eye ...
ojs.aaai.org › AAAI › article › view
Feb 12, 2017 · During hand-eye coordination tasks, gaze often precedes hand motion and can serve as a powerful predictor for intent. However, cooperative tasks ...
During hand-eye coordination tasks, gaze often precedes hand motion and can serve as a powerful predictor for intent. However, cooperative tasks where a semi- ...
Oct 22, 2024 · During hand-eye coordination tasks, gaze often precedes hand motion and can serve as a powerful predictor for intent. However, cooperative tasks ...
May 13, 2024 · We presented a perception module for human intent recognition based on gaze, we integrated it into a modular planning architecture and tested ...
People also ask
Can hand-eye coordination be learned?
What brain is responsible for hand-eye coordination?
What does the hand-eye coordination test measure?
How do you demonstrate hand-eye coordination?
Improving Robotic Hand Prosthesis Control With Eye Tracking and ...
www.ncbi.nlm.nih.gov › PMC8822121
Jan 25, 2022 · In this paper, we investigate a multimodal approach that exploits the use of eye-hand coordination to improve the control of myoelectric hand ...
We present a novel method for intention inference based on the integration of three visual cues, namely, hand movement, eye fixation, and object interaction.
We propose a learning-based approach to predict the probability that a human user will interact with a robot before the interaction actually begins.
Abstract: Human gaze is known to be a strong indicator of underlying human intentions and goals during manipulation tasks. This work studies gaze patterns.
For example, robot co-workers could predict human workers' intentions by monitoring their gaze cues, enabling the robots to choose complementary tasks to ...